Joy Yang is a versatile software engineer with nine years of experience bridging product, infrastructure, and policy around AI and fintech, now headed to Databricks after internships at OpenAI and trading infrastructure work at tread.fi. She has built ETL pipelines and POS data systems, worked on ChatGPT-for-Gov research and hardware-integrated projects, and conducted tech policy research at Google focused on AI and trade barriers. Comfortable in both startup and large-tech environments, she combines hands-on Python/Postgres engineering with product-minded systems design. A University of Oxford Computer Science student and Georgetown alum in CS & Government, she brings a rare blend of technical rigor and policy fluency to build responsible, production-ready ML systems.
9 years of coding experience
2 years of employment as a software developer
Innovations in Science and Technology, Innovations in Science and Technology at Yale Young Global Scholars
Computer Science, Computer Science at University of Oxford
Bachelor's degree Computer Science Government, Bachelor's degree Computer Science Government at Georgetown University
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